






"""simple docstring"""
class        UpperCamelCase__ :







    """simple docstring"""







    def __init__(		self :	Dict ):





           '''simple docstring'''

           __magic_name__      				=    {}  # Mapping from char to TrieNode
           __magic_name__      				=    False







    def 				a__			(		self :	Tuple				,    UpperCamelCase_ :	list[str] ):





           '''simple docstring'''

           for word in words:
                  self.insert(UpperCamelCase_ )







    def 				a__			(		self :	Optional[int]				,    UpperCamelCase_ :	str ):





           '''simple docstring'''

           __magic_name__      				=    self
           for char in word:
                  if char not in curr.nodes:
                         __magic_name__      				=    TrieNode()
                  __magic_name__      				=    curr.nodes[char]
           __magic_name__      				=    True







    def 				a__			(		self :	List[str]				,    UpperCamelCase_ :	str ):





           '''simple docstring'''

           __magic_name__      				=    self
           for char in word:
                  if char not in curr.nodes:
                         return False
                  __magic_name__      				=    curr.nodes[char]
           return curr.is_leaf







    def 				a__			(		self :	Any				,    UpperCamelCase_ :	str ):





           '''simple docstring'''

           def _delete(UpperCamelCase_ :	TrieNode				,    UpperCamelCase_ :	str				,    UpperCamelCase_ :	int ) -> bool:
                  if index == len(UpperCamelCase_ ):
                         # If word does not exist
                         if not curr.is_leaf:
                                return False
                         __magic_name__      				=    False
                         return len(curr.nodes ) == 0
                  __magic_name__      				=    word[index]
                  __magic_name__      				=    curr.nodes.get(UpperCamelCase_ )
                  # If char not in current trie node
                  if not char_node:
                         return False
                  # Flag to check if node can be deleted
                  __magic_name__      				=    _delete(UpperCamelCase_				,    UpperCamelCase_				,    index + 1 )
                  if delete_curr:
                         del curr.nodes[char]
                         return len(curr.nodes ) == 0
                  return delete_curr

           _delete(self				,    UpperCamelCase_				,    0 )


def 							A						(				__snake_case: TrieNode ,     __snake_case: str  )    ->		None:

       """simple docstring"""





       if node.is_leaf:
              print(__snake_case ,     end=' '  )

       for key, value in node.nodes.items():
              print_words(__snake_case ,     word + key  )


def 							A						(				)    ->		bool:

       """simple docstring"""





       __magic_name__      				=    'banana bananas bandana band apple all beast'.split()
       __magic_name__      				=    TrieNode()
       root.insert_many(__snake_case  )
       # print_words(root, "")
       assert all(root.find(__snake_case  ) for word in words  )
       assert root.find('banana'  )
       assert not root.find('bandanas'  )
       assert not root.find('apps'  )
       assert root.find('apple'  )
       assert root.find('all'  )
       root.delete('all'  )
       assert not root.find('all'  )
       root.delete('banana'  )
       assert not root.find('banana'  )
       assert root.find('bananas'  )
       return True


def 							A						(				__snake_case: str ,     __snake_case: bool  )    ->		None:

       """simple docstring"""





       print(str(__snake_case  ) ,     'works!' if passes else 'doesn\'t work :('  )


def 							A						(				)    ->		None:

       """simple docstring"""





       assert test_trie()


def 							A						(				)    ->		None:

       """simple docstring"""





       print_results('Testing trie functionality' ,     test_trie()  )


if __name__ == "__main__":
 main()







"""simple docstring"""
from datetime import datetime

import matplotlib.pyplot as plt
import torch


def 							A						(				__snake_case: Optional[int]  )    ->		Tuple:

       """simple docstring"""





       for param in module.parameters():
              __magic_name__      				=    False


def 							A						(				)    ->		Optional[Any]:

       """simple docstring"""





       __magic_name__      				=    'cuda' if torch.cuda.is_available() else 'cpu'
       if torch.backends.mps.is_available() and torch.backends.mps.is_built():
              __magic_name__      				=    'mps'
       if device == "mps":
              print(
                  'WARNING: MPS currently doesn\'t seem to work, and messes up backpropagation without any visible torch'
                  ' errors. I recommend using CUDA on a colab notebook or CPU instead if you\'re facing inexplicable issues'
                  ' with generations.'  )
       return device


def 							A						(				__snake_case: int  )    ->		List[Any]:

       """simple docstring"""





       __magic_name__      				=    plt.imshow(__snake_case  )
       fig.axes.get_xaxis().set_visible(__snake_case  )
       fig.axes.get_yaxis().set_visible(__snake_case  )
       plt.show()






def 							A						(				)    ->		List[Any]:

       """simple docstring"""





       __magic_name__      				=    datetime.now()
       __magic_name__      				=    current_time.strftime('%H:%M:%S'  )
       return timestamp